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Aufsatz
Augmented-Reality-basierte Assistenz für das Anlernen manueller und roboterunterstützter Montageprozesse
(2021-10-14)
Durch eine zunehmend flexibilisierte Produktion und relativ hohe Personalfluktuation bei einfachen Tätigkeiten wird das Anlernen neuer Mitarbeitender bzw. für neue oder geänderte Produktionsprozesse zunehmend relevanter. Konventionelle Anlernmethoden, bspw. durch Demonstration oder Arbeitspläne, haben Schwächen (bspw. binden sie zusätzliche Arbeitskraft oder sind kognitiv anspruchsvoll), die durch ein Augmented-Reality-(AR-)basiertes Assistenzsystem kompensiert werden können. Ein AR-Assistenzsystem zum Anlernen eines ...
Aufsatz
3DWoodWind: robotic winding processes for material-efficient lightweight veneer components
(2022-03-25)
Winding processes are known from fiber composite technology for highly resistance lightweight components for aviation. These fiber-based processes work predominantly with synthetic composites made of carbon or glass fibers. For the construction industry, these additive processes are very promising and resource-efficient building processes, but they are still hardly used in timber construction despite the very high level of digitalization and technical development. The 3DWoodWind research project uses a continuous ...
Aufsatz
Design based on availability: Generative design and robotic fabrication workflow for non-standardized sheet metal with variable properties
(2022-03-07)
This paper presents the use of a computational design algorithm in combination with robotic fabrication and sensing to augment the design and construction process for non-standardized material. Although reusing reclaimed material can significantly reduce the environmental impact in building construction, current design processes are not set up for this shift in thinking. Contrary to conventional practices, designing within the constraints of available material means that geometry and topology cannot be fully ...
Aufsatz
Virtual Reality Experience of Mega Sports Events: A Technology Acceptance Study
(2022-05-24)
Digitalization has advanced to become an opportunity to spectate sports during the pandemic and its restrictions for traveling to competitions. The purpose of this study is to investigate the antecedents of using virtual reality technology for spectating mega sports events. Based on a literature review, the authors created a model of behavioral intention, built on the unified theory of acceptance and use of technology and technology acceptance model to examine the curiosity and self-construal of spectators. An online ...
Aufsatz
Experimental and numerical polarization analysis of the 3D transfer behavior in microsphere-assisted interferometry for 1D phase gratings
(2023-06-08)
Enhancing the lateral resolution in optical microscopy and interferometry is of great interest in recent research. In order to laterally resolve structures including feature dimensions below the Abbe resolution limit, microspheres in the optical near-field of the specimen are shown to locally improve the resolution of the imaging system. Experimental and simulated results following this approach are obtained by a high NA Linnik interferometer and analyzed in this contribution. They show the reconstructed surface of ...
Aufsatz
The role of design patterns in the development and legal assessment of lawful technologies
(2022-10-22)
Novel technologies such as smart personal assistants integrate digital services into everyday life. These services use personal data to offer personalized services. While they are subject to special data protection regulations at the time of development, there are few guidelines describing the transition from legal requirements to implementation. To reduce risks, services depend on external legal assessments. With developers and legal experts often missing either legal or technical knowledge, the challenge lies in ...
Aufsatz
Weisfeiler-Lehman goes dynamic: An analysis of the expressive power of Graph Neural Networks for attributed and dynamic graphs
(2024-02-28)
Graph Neural Networks (GNNs) are a large class of relational models for graph processing. Recent theoretical studies on the expressive power of GNNs have focused on two issues. On the one hand, it has been proven that GNNs are as powerful as the Weisfeiler–Lehman test (1-WL) in their ability to distinguish graphs. Moreover, it has been shown that the equivalence enforced by 1-WL equals unfolding equivalence. On the other hand, GNNs turned out to be universal approximators on graphs modulo the constraints enforced by ...